Senior ML Engineer: Build Production Healthcare AI Platform

Zebra People; Greater London; On-site; GBP 115,000 - 160,000; Full time

Job summary

A pioneering health AI company in the UK seeks a Senior Machine Learning Engineer to design and implement their AI and ML infrastructure. This role will involve the productionization of ML models, development of data pipelines, and establishing MLOps protocols. The ideal candidate will have over 5 years of experience in machine learning engineering and strong skills in Python and Google Cloud Platform. Attractive benefits, including a competitive salary ranging from $160,000 to $220,000, equity participation, and a mission-driven work environment.

Benefits

Competitive salary and benefits

Participation in equity program

Dynamic collaborative work environment

Qualifications

• 5+ years of experience in machine learning engineering, data engineering, or a related field.
• Strong Python engineering skills with production-quality, typed, and tested code.
• Track record of productionizing ML models in both batch and real-time environments.

Responsibilities

• Design and implement the AI platform.
• Define MLOps protocols for agentic systems.
• Productionize research-grade notebooks into production-grade services.

Skills

Python engineering skills

MLOps protocols definition

Collaboration across teams

Productionizing ML models

Experience with BigQuery

Education

5+ years of experience in machine learning engineering

Tools

Google Cloud Platform

Airflow

Terraform

Job description

A pioneering health AI company in the UK seeks a Senior Machine Learning Engineer to design and implement their AI and ML infrastructure. This role will involve the productionization of ML models, development of data pipelines, and establishing MLOps protocols. The ideal candidate will have over 5 years of experience in machine learning engineering and strong skills in Python and Google Cloud Platform. Attractive benefits, including a competitive salary ranging from $160,000 to $220,000, equity participation, and a mission-driven work environment.